Package: mlsurvlrnrs 0.0.8
mlsurvlrnrs: R6-Based ML Survival Learners for 'mlexperiments'
Enhances 'mlexperiments' <https://CRAN.R-project.org/package=mlexperiments> with additional machine learning ('ML') learners for survival analysis. The package provides R6-based survival learners for the following algorithms: 'glmnet' <https://CRAN.R-project.org/package=glmnet>, 'ranger' <https://CRAN.R-project.org/package=ranger>, 'xgboost' <https://CRAN.R-project.org/package=xgboost>, and 'rpart' <https://CRAN.R-project.org/package=rpart>. These can be used directly with the 'mlexperiments' R package.
Authors:
mlsurvlrnrs_0.0.8.tar.gz
mlsurvlrnrs_0.0.8.zip(r-4.7)mlsurvlrnrs_0.0.8.zip(r-4.6)mlsurvlrnrs_0.0.8.zip(r-4.5)
mlsurvlrnrs_0.0.8.tgz(r-4.6-any)mlsurvlrnrs_0.0.8.tgz(r-4.5-any)
mlsurvlrnrs_0.0.8.tar.gz(r-4.7-any)mlsurvlrnrs_0.0.8.tar.gz(r-4.6-any)
mlsurvlrnrs_0.0.8.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
mlsurvlrnrs/json (API)
| # Install 'mlsurvlrnrs' in R: |
| install.packages('mlsurvlrnrs', repos = c('https://kapsner.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/kapsner/mlsurvlrnrs/issues
algorithmscox-regressionexperimentsglmnetlearnersmachine-learningrandom-survival-forestssurvivalsurvival-support-vector-machinexgboostquarto
Last updated from:3da26c3d4b. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 170 | ||
| source / vignettes | OK | 233 | ||
| linux-release-x86_64 | OK | 158 | ||
| macos-release-arm64 | OK | 140 | ||
| macos-oldrel-arm64 | OK | 154 | ||
| windows-devel | OK | 149 | ||
| windows-release | OK | 132 | ||
| windows-oldrel | OK | 167 | ||
| wasm-release | OK | 132 |
Exports:c_indexLearnerSurvCoxPHCoxLearnerSurvGlmnetCoxLearnerSurvRangerCoxLearnerSurvRpartCoxLearnerSurvXgboostAftLearnerSurvXgboostCox
Dependencies:backportsbase64encbslibcachemcheckmatecliclustercodetoolscolorspacecpp11crayondata.tabledigestdoParallelevaluatefarverfastmapfontawesomeforeachforeignFormulafsggplot2gluegridExtragtablehighrHmischmshtmlTablehtmltoolshtmlwidgetsisobanditeratorsjquerylibjsonlitekdryknitrlabelinglifecyclemagrittrmemoisemimemlexperimentsmllrnrsnnetpkgconfigprettyunitsprogressR6rappdirsRColorBrewerrlangrmarkdownrpartrstudioapiS7sassscalessplitToolsstringistringrtinytexvctrsviridisLitewithrxfunyaml
glmnet: Survival Analysis
Rendered frommlsurvlrnrs_glmnet_survival.qmdusingquarto::htmlon May 18 2026.Last update: 2026-01-16
Started: 2024-05-29
ranger: Survival Analysis
Rendered frommlsurvlrnrs_ranger_survival.qmdusingquarto::htmlon May 18 2026.Last update: 2026-01-15
Started: 2024-05-29
rpart: Survival Analysis
Rendered frommlsurvlrnrs_rpart_survival.qmdusingquarto::htmlon May 18 2026.Last update: 2026-01-16
Started: 2024-05-29
xgboost: Survival Analysis, AFT Analysis
Rendered frommlsurvlrnrs_xgboost_survival_aft.qmdusingquarto::htmlon May 18 2026.Last update: 2026-01-16
Started: 2024-05-29
xgboost: Survival Analysis, Cox Regression
Rendered frommlsurvlrnrs_xgboost_survival_cox.qmdusingquarto::htmlon May 18 2026.Last update: 2026-01-16
Started: 2024-05-29
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| c_index | c_index |
| R6 Class to construct a Cox proportional hazards survival learner | LearnerSurvCoxPHCox |
| R6 Class to construct a Glmnet survival learner for Cox regression | LearnerSurvGlmnetCox |
| R6 Class to construct a Ranger survival learner for Cox regression | LearnerSurvRangerCox |
| LearnerSurvRpartCox R6 class | LearnerSurvRpartCox |
| R6 Class to construct a Xgboost survival learner for accelerated failure time models | LearnerSurvXgboostAft |
| R6 Class to construct a Xgboost survival learner for Cox regression | LearnerSurvXgboostCox |
